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- Title
Antenna Placement Optimization for Distributed MIMO Radar Based on a Reinforcement Learning Algorithm.
- Authors
Zhu, Jin; Liu, Wenxu; Zhang, Xiangrong; Lyu, Feifei; Guo, Zhengqiang
- Abstract
This paper studies an optimization problem of antenna placement for multiple heading angles of the target in a distributed multiple-input multiple-output (MIMO) radar system. An improved method to calculate the system's coverage area in light of the changing target heading is presented. The antenna placement optimization problem is mathematically modelled as a sequential decision problem for compatibility with reinforcement learning solutions. A reinforcement learning agent is established, which uses the long short-term memory (LSTM)-based proximal policy optimization (PPO) method as the core algorithm to solve the antenna placement problem. Finally, the experimental findings demonstrate that the method can enhance the coverage area of antenna placement and thus has reference value for providing new ideas for the antenna placement optimization of distributed MIMO radar.
- Subjects
MACHINE learning; ANTENNAS (Electronics); REINFORCEMENT learning; MIMO radar; STATISTICAL decision making; REFERENCE values
- Publication
Scientific Reports, 2023, Vol 13, Issue 1, p1
- ISSN
2045-2322
- Publication type
Article
- DOI
10.1038/s41598-023-43076-z